Liability estimation in accidents using ego videos and multimodal models

Discover how multimodal LLM models estimate liability in accidents from first-person videos. A new AI task for safety

martes, 7 de julio de 2026 • 1 min read • Q2BSTUDIO Team

How multimodal LLMs assess liability in accidents

Liability estimation in traffic accidents is evolving thanks to artificial intelligence applied to videos captured from the driver's perspective. Our AI solutions for businesses allow analyzing these sequences to objectively determine degrees of fault, overcoming the limitations of fixed cameras or traditional reports. At Q2BSTUDIO, we develop custom applications and custom software that integrate multimodal models, AI agents, and AWS and Azure cloud services to process large volumes of visual data. Additionally, we offer cybersecurity services to protect sensitive information and business intelligence services with Power BI to visualize accident patterns. This technology not only improves accuracy in liability assignment but also drives prevention and efficiency in the insurance and mobility sector.

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